Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics

Edward Clarkson; Jaegul Choo; John Turgeson; Ray Decuir; Haesun Park

doi:10.1145/2501511.2501518

Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics

Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present Lytic, a domain-independent, faceted visual analytic (VA) system for interactive exploration of large datasets. It combines a flexible UI that adapts to arbitrary character-separated value (CSV) datasets with algorithmic preprocessing to compute unsupervised dimension reduction and cluster data from high-dimensional fields. It provides a variety of visualization options that require minimal user effort to configure and a consistent user experience between visualization types and underlying datasets. Filtering, comparison and visualization operations work in concert, allowing users to hop seamlessly between actions and pursue answers to expected and unexpected data hypotheses.

Original language	English
Title of host publication	Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013
Publisher	Association for Computing Machinery
Pages	36-44
Number of pages	9
ISBN (Print)	9781450323291
DOIs	https://doi.org/10.1145/2501511.2501518
Publication status	Published - 2013
Event	ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013 - Chicago, IL, United States Duration: 2013 Aug 11 → 2013 Aug 11

Publication series

Name	Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013

Conference

Conference	ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013
Country/Territory	United States
City	Chicago, IL
Period	13/8/11 → 13/8/11

Keywords

Infovis
Scientific intelligence
Visual analytics

ASJC Scopus subject areas

Human-Computer Interaction
Information Systems

Access to Document

10.1145/2501511.2501518

Cite this

Clarkson, E., Choo, J., Turgeson, J., Decuir, R., & Park, H. (2013). Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. In Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013 (pp. 36-44). (Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013). Association for Computing Machinery. https://doi.org/10.1145/2501511.2501518

Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. / Clarkson, Edward; Choo, Jaegul; Turgeson, John et al.
Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013. Association for Computing Machinery, 2013. p. 36-44 (Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Clarkson, E, Choo, J, Turgeson, J, Decuir, R & Park, H 2013, Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. in Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013. Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013, Association for Computing Machinery, pp. 36-44, ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013, Chicago, IL, United States, 13/8/11. https://doi.org/10.1145/2501511.2501518

Clarkson E, Choo J, Turgeson J, Decuir R, Park H. Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. In Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013. Association for Computing Machinery. 2013. p. 36-44. (Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013). doi: 10.1145/2501511.2501518

Clarkson, Edward ; Choo, Jaegul ; Turgeson, John et al. / Lytic : Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013. Association for Computing Machinery, 2013. pp. 36-44 (Proceedings of the ACM SIGKDD 2013 Workshop on Interactive Data Exploration and Analytics, IDEA 2013).

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Lytic: Synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this